journal article·2025-02-10Open access

Research on Non-Random Vibration Analysis of Concrete Pump Truck Boom Based on Dynamic Excitation

Weixin Zhou, Wubin Xu, Bing Li, Yuanbin Xiao, Xianyu Liu, Hanwen Zhang, Bo Xu

Applied Sciences· Volume 15· Issue 4

Abstract

When pouring concrete overhead, a pump truck boom’s vibration has a big effect on how accurately the concrete is poured. This is especially true during fixed-point pouring, where the boom’s vibration is likely to cause the pouring position to deviate, which lowers the quality of the construction. It is difficult to forecast the dynamic reaction of the pump truck boom in a construction setting because of the constantly shifting external factors (wind speed, pipeline stress during pumping, etc.), which makes it difficult to guarantee casting accuracy. This study suggests a non-random vibration analysis technique for pump truck booms based on the interval process theory in order to address this issue. A dynamic excitation analysis method based on rigid–discrete coupling is proposed, taking into account the response influence of the material characteristics in the transportation process. The pumping process of concrete materials in the conveying pipeline is simulated using discrete element simulation technology to determine the system’s stress conditions under pumping conditions. The dynamic response characteristics of the pump truck boom under operating conditions are revealed by using non-random vibration analysis with the mathematical model that has been created based on the particular specifications of the pump truck boom. This study employs the Newmark-β technique for numerical computation to solve the dynamic equations and characterize the displacement response envelope under uncertain system parameter settings. The experimental findings demonstrate that the suggested approach may accurately capture the upper and lower bounds of the boom dynamic response, offering a trustworthy way to assess the dynamic behavior while pumping. The technique can reliably predict the dynamic displacement boundary and control the casting position deviation within a predefined range by accurately predicting the dynamic displacement range of the pump truck’s boom end and efficiently constructing the displacement envelope under uncertain dynamic excitation. For numerical computation, use the Newmark-β algorithm. This outcome confirms the substantial enhancement of the proposed method regarding pouring precision in construction settings, offering a novel solution and technical guidance for vibration control in engineering projects.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Vibration and Dynamic Analysis · Hydraulic and Pneumatic Systems · Soil Mechanics and Vehicle Dynamics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China

Engineering Research Center of Advanced Engineering Equipment, University of Guangxi, Liuzhou 545006, China

Guangxi Electrical Polytechnic Institute, Nanning 530007, China

Funding

Central Government-Guided Local Science and Technology Development Fund Program · Guangxi Science and Technology Project

References (29)

Show source-provided references
1. Non-Random Vibration Analysis of Mechanical Arm Systems
2. Analysis of Random Vibration Response of Shafting Transmission Considering Structural Nonlinearity
3. Non-Random Vibration Analysis of Rotate Vector Reducer10.1016/j.jsv.2022.117380 ↗
4. Non-Stationary Random Vibration Analysis of Multi Degree Systems Using Auto-Covariance Orthogonal Decomposition10.1016/j.jsv.2016.02.018 ↗
5. Mixed Uncertainty Analysis for Dynamic Reliability of Mechanical Structures Considering Residual Strength10.1016/j.ress.2021.107472 ↗
6. Uncertainty Quantification and Sensitivity Analysis for the Self-Excited Vibration of a Spline-Shafting System10.1115/1.4063069 ↗
7. A New Sequential Surrogate Method for Reliability Analysis and Its Applications in Engineering10.1109/ACCESS.2019.2915350 ↗
8. Li, K., and Liu, H. (2022). Structural Reliability Analysis by Using Non-Probabilistic Multi-Cluster Ellipsoidal Model. Entropy, 24.10.3390/e24091209 ↗
9. An Efficient Method for Time-Variant Reliability Including Finite Element Analysis10.1016/j.ress.2021.107534 ↗
10. A New Type of Bilateral Vibro-Impact Model: Random Vibration Analysis10.1007/s40435-021-00759-7 ↗
11. Uncertainty Measurement and Reliability Analysis of High Flexibility Structures of Pump Truck Booms
12. A bivariate subinterval method for dynamic analysis of mechanical systems with interval uncertain parameters10.1016/j.cnsns.2023.107377 ↗
13. Dynamic Analysis of Space Robot Manipulator Considering Clearance Joint and Parameter Uncertainty: Modeling, Analysis and Quantification10.1016/j.actaastro.2020.01.011 ↗
14. Optimization Algorithm for Uncertain Model Updating Based on Interval Overlap Ratios and Chebyshev Polynomials10.1016/j.apm.2024.115864 ↗
15. Precision Analysis of Deployable Position of Flexible Solar Array with Gap Hinges at Extreme Temperature
16. A Novel Interval Model Updating Framework Based on Correlation Propagation and Matrix-Similarity Method10.1016/j.ymssp.2021.108039 ↗
17. Some significant improvements for interval process model and non-random vibration analysis method10.1016/j.cma.2019.07.034 ↗
18. Li, F., Liu, J., Yan, Y., Rong, J., and Yi, J. (2021). A Time-Variant Reliability Analysis Method Based on the Stochastic Process Discretization under Random and Interval Variables. Symmetry, 13.10.3390/sym13040568 ↗
19. Interval Process Model and Non-Random Vibration Analysis10.1016/j.jsv.2016.03.019 ↗
20. Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., and Hassner, T. DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation. Proceedings of the Computer Vision—ECCV 2022.
21. A Simple and Systematic Approach to Assigning Denavit–Hartenberg Parameters10.1109/TRO.2007.896765 ↗
22. Dynamics Equation for 2R Planar Manipulator Using Lagrange Dynamics
23. Analysis of Concrete Material Mixing Based on EDEM10.12677/HJCE.2022.118099 ↗
24. The JKR-Type Adhesive Contact Problems for Transversely Isotropic Elastic Solids10.1016/j.mechmat.2014.03.011 ↗
25. Zhang, C., Yang, J., and Chong, Z. (2022). Machinery Dynamics, Academic Press.
26. Non-Probabilistic Convex Model Process: A New Method of Time-Variant Uncertainty Analysis and Its Application to Structural Dynamic Reliability Problems10.1016/j.cma.2013.10.016 ↗
27. A Novel Analysis Method for Vibration Systems under Time-Varying Uncertainties Based on Interval Process Model10.1016/j.probengmech.2022.103363 ↗
28. A Novel Time-Domain Dynamic Load Identification Numerical Algorithm for Continuous Systems10.1016/j.ymssp.2021.107881 ↗
29. Computing Optimal Partition Problems via Lagrange Multiplier Approach10.1007/s10915-024-02726-8 ↗